whisper_small_tw11
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0462
- Wer: 1.3691
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 6.25e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1200
- training_steps: 2400
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.5528 | 2.86 | 400 | 2.8688 | 2.2350 |
| 1.5461 | 5.71 | 800 | 2.2548 | 2.1533 |
| 0.6586 | 8.57 | 1200 | 2.4110 | 1.5250 |
| 0.1633 | 11.43 | 1600 | 2.6985 | 1.4415 |
| 0.0318 | 14.29 | 2000 | 2.9465 | 1.2165 |
| 0.0119 | 17.14 | 2400 | 3.0462 | 1.3691 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
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Base model
openai/whisper-small